report_05-07-2025_01-53-20.html

[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1245'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1245', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-1' pid=1711608 parent=1710166 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== [TIDL Import] ERROR: - Failed in function: tidl_optimizeNet -- [tidl_import_core.cpp, 2989] [TIDL Import] ERROR: Network Optimization failed - Failed in function: TIDL_runtimesOptimizeNet -- [tidl_runtimes_import_common.cpp, 1390] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeImportFunc -- [tidl_onnxRtImport_EP.cpp, 2674]
------------------------------Captured stderr call------------------------------
2025-05-07 01:53:45.631534383 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed. Process Process-1: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed.

[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1010'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1010', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-11' pid=1717374 parent=1710735 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw21] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.226s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1307s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1355s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1438s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1471s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1496s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1526s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1550s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1578s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1604s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1625s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1652s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1688s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1748s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1774s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1836s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1865s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1889s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1912s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1931s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1956s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1988s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.2012s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.2035s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.2061s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.2081s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.2105s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.2133s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.2156s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.2176s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.2201s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.2221s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.2248s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.2279s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.2299s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.2319s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.2343s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.2378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2399s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2429s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2449s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2477s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2480s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2485s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 38152517 bytes MEM: Free's : 26 free's of 38152517 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:53:51.850738360 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-11: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1001'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1001', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-22' pid=1720370 parent=1710633 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw19] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.118s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.993s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1023s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1066s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1096s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1110s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1127s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1145s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1160s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1174s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1189s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1207s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1232s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1255s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1271s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1290s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1308s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1327s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1341s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1359s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1377s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1416s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1433s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1447s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1465s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1482s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1504s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1526s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1539s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1557s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1572s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1586s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1604s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1623s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1639s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1658s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1676s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1693s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.5753s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.5811s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.5812s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.5817s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 18723277 bytes MEM: Free's : 26 free's of 18723277 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:53:54.605110357 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-22: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1258'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1258', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-20' pid=1720406 parent=1710026 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw6] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.132s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.933s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.984s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1002s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1020s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1039s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1173s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1188s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1206s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1221s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1253s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1268s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1298s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1316s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1331s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1349s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1364s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1378s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1394s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1419s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1438s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1456s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1469s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1491s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1509s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1523s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1540s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1551s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1572s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1584s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1602s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1621s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1641s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1653s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1667s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1680s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1699s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1716s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1732s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1755s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1771s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1772s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1776s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 23938893 bytes MEM: Free's : 26 free's of 23938893 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:53:56.834657924 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-20: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_749'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_749', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-6' pid=1722133 parent=1710166 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw10] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== [TIDL Import] ERROR: - Failed in function: tidl_optimizeNet -- [tidl_import_core.cpp, 2989] [TIDL Import] ERROR: Network Optimization failed - Failed in function: TIDL_runtimesOptimizeNet -- [tidl_runtimes_import_common.cpp, 1390] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeImportFunc -- [tidl_onnxRtImport_EP.cpp, 2674]
------------------------------Captured stderr call------------------------------
2025-05-07 01:53:55.699932862 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed. Process Process-6: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed.

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1291'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1291', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-28' pid=1730569 parent=1710016 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.7s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.212s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1133s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1178s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1220s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1240s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1269s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1296s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1320s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1340s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1359s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1380s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1402s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1424s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1457s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1480s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1498s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1516s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1532s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1551s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1592s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1607s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1626s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1643s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1664s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1681s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1698s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1716s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1731s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1745s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1762s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1788s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1804s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1822s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1844s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1864s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1884s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1905s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1924s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1944s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1965s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1991s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1993s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1997s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 38337377 bytes MEM: Free's : 26 free's of 38337377 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:54:11.396265754 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-28: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_501'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_501', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-33' pid=1733086 parent=1710065 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== [TIDL Import] ERROR: - Failed in function: tidl_optimizeNet -- [tidl_import_core.cpp, 2989] [TIDL Import] ERROR: Network Optimization failed - Failed in function: TIDL_runtimesOptimizeNet -- [tidl_runtimes_import_common.cpp, 1390] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeImportFunc -- [tidl_onnxRtImport_EP.cpp, 2674]
------------------------------Captured stderr call------------------------------
2025-05-07 01:54:11.460586096 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed. Process Process-33: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed.

[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1259'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1259', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-60' pid=1738294 parent=1710234 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.8s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.186s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.1388s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.1419s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.1815s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1835s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1856s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1875s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1895s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1918s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1938s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1962s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1978s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.2003s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.2033s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.2054s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.2069s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.2088s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.2111s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.2125s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.2143s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.2165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.2183s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.2205s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.2219s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.2234s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.2256s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.2276s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.2294s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.2317s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.2339s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.2355s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.2379s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.2407s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.2428s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.2444s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.2467s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.2487s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.2505s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.2535s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.2556s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.2573s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.2594s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.2596s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.2600s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 57685549 bytes MEM: Free's : 26 free's of 57685549 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:54:21.285085720 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-60: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1002'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1002', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-43' pid=1738335 parent=1710100 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw9] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.135s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.8766s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.8923s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.8946s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.8968s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.8996s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.9028s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.9046s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.9062s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.9086s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.9099s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.9116s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.9151s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.9194s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.9228s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.9245s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.9266s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.9279s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.9293s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.9306s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.9326s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.9343s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.9364s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.9381s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.9397s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.9411s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.9476s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.9492s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.9506s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.9525s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.9544s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.9576s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.9597s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.9612s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.9628s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.9653s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.9675s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.9697s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.9723s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.9746s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.9764s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.9782s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.9784s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.9793s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 36947477 bytes MEM: Free's : 26 free's of 36947477 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:54:20.701278058 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-43: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1493'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1493', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-36' pid=1740867 parent=1710065 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw8] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== [TIDL Import] ERROR: - Failed in function: tidl_optimizeNet -- [tidl_import_core.cpp, 2989] [TIDL Import] ERROR: Network Optimization failed - Failed in function: TIDL_runtimesOptimizeNet -- [tidl_runtimes_import_common.cpp, 1390] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeImportFunc -- [tidl_onnxRtImport_EP.cpp, 2674]
------------------------------Captured stderr call------------------------------
2025-05-07 01:54:19.241033465 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed. Process Process-36: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed.

[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_762'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_762', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-42' pid=1744429 parent=1710016 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw3] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.5s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.6s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.142s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.921s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.952s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.987s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.1002s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.1020s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.1034s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.1049s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.1063s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.1077s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.1089s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.1103s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.1119s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.1143s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.1161s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.1182s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.1198s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.1223s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.1238s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.1248s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.1266s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.1284s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.1300s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.1312s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.1328s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.1338s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.1356s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.1368s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.1382s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.1395s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.1414s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.1453s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.1471s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.1491s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.1504s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.1517s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.1537s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.1556s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.1567s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.1582s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.1597s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.1616s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.1618s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.1621s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 20255149 bytes MEM: Free's : 26 free's of 20255149 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:54:26.456524950 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-42: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.

[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_997'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_997', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: -11
E assert -11 == 0
E + where -11 = <Process name='Process-64' pid=1749406 parent=1710234 stopped exitcode=-SIGSEGV>.exitcode

test_tidl_unit.py:123: AssertionError[gw12] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== [TIDL Import] ERROR: - Failed in function: tidl_optimizeNet -- [tidl_import_core.cpp, 2989] [TIDL Import] ERROR: Network Optimization failed - Failed in function: TIDL_runtimesOptimizeNet -- [tidl_runtimes_import_common.cpp, 1390] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeImportFunc -- [tidl_onnxRtImport_EP.cpp, 2674]
------------------------------Captured stderr call------------------------------
2025-05-07 01:54:27.883264415 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed. Process Process-64: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Import Failed.

[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3

no_subprocess = False, tidl_offload = True, run_infer = False, operator_tests_root_fixture = 'tidl_unit_test_data/operator/'
test_name = 'AveragePool_1043'

@pytest.mark.parametrize(("test_name"), operator_tests_to_run)
def test_tidl_unit_operator(no_subprocess : bool, tidl_offload : bool, run_infer : bool, operator_tests_root_fixture : str, test_name : str):
'''
Pytest for tidl unit operator tests using the edgeai-benchmark framework
'''
testdir_parent = operator_tests_root_fixture
for i in range(len(operator_tests_to_run)):
if operator_tests_to_run[i] == test_name:
testdir_parent = operator_tests_parent_dir[i]
break

> perform_tidl_unit(no_subprocess=no_subprocess,
tidl_offload = tidl_offload,
run_infer = run_infer,
test_name = test_name,
test_suite = "operator",
testdir_parent = testdir_parent)

test_tidl_unit.py:70:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test_tidl_unit.py:89: in perform_tidl_unit
perform_tidl_unit_subprocess(tidl_offload = tidl_offload,
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

tidl_offload = True, run_infer = False, test_name = 'AveragePool_1043', test_suite = 'operator'
testdir_parent = 'tidl_unit_test_data/operator/AveragePool'

def perform_tidl_unit_subprocess(tidl_offload : bool, run_infer : bool, test_name : str, test_suite : str, testdir_parent : str):
'''
Perform an tidl unit test using a subprocess (in order to properly capture output for fatal errors)
Called by perform_tidl_unit
'''

kwargs = {"tidl_offload" : tidl_offload,
"run_infer" : run_infer,
"test_name" : test_name,
"test_suite" : test_suite,
"testdir_parent" : testdir_parent}

p = Process(target=perform_tidl_unit_oneprocess, kwargs=kwargs)
p.start()


# Note: This timeout parameter must be lower than the pytest-timeout parameter
# passed to the pytest command (on the command line or in pytest.ini)
p.join(timeout=600)
if p.is_alive():
p.terminate()

# Cleanup leftover files
for f in glob.glob("/dev/shm/vashm_buff_*"):
os.remove(f)

> assert p.exitcode == 0, f"Received nonzero exit code: {p.exitcode}"
E AssertionError: Received nonzero exit code: 1
E assert 1 == 0
E + where 1 = <Process name='Process-43' pid=1753606 parent=1710342 stopped exitcode=1>.exitcode

test_tidl_unit.py:123: AssertionError[gw15] linux -- Python 3.10.16 /home/tidl/.pyenv/versions/benchmark/bin/python3
------------------------------Captured stdout call------------------------------
========================= [Model Compilation Started] ========================= Model compilation will perform the following stages: 1. Parsing 2. Graph Optimization 3. Quantization & Calibration 4. Memory Planning ============================== [Version Summary] ============================== ------------------------------------------------------------------------------- | TIDL Tools Version | 11_00_00_00 | ------------------------------------------------------------------------------- | C7x Firmware Version | 11_00_00_00 | ------------------------------------------------------------------------------- | Runtime Version | 1.15.0 | ------------------------------------------------------------------------------- | Model Opset Version | 18 | ------------------------------------------------------------------------------- ============================== [Parsing Started] ============================== [TIDL Import] [PARSER] WARNING: Network not identified as Object Detection network : (1) Ignore if network is not Object Detection network (2) If network is Object Detection network, please specify "model_type":"OD" as part of OSRT compilation options ------------------------- Subgraph Information Summary ------------------------- ------------------------------------------------------------------------------- | Core | No. of Nodes | Number of Subgraphs | ------------------------------------------------------------------------------- | C7x | 1 | 1 | | CPU | 0 | x | ------------------------------------------------------------------------------- ============================= [Parsing Completed] ============================= ==================== [Optimization for subgraph_0 Started] ==================== ----------------------------- Optimization Summary ----------------------------- ---------------------------------------------------------------------------- | Layer | Nodes before optimization | Nodes after optimization | ---------------------------------------------------------------------------- | TIDL_PoolingLayer | 1 | 1 | ---------------------------------------------------------------------------- Total nodes in subgraph: 5 =================== [Optimization for subgraph_0 Completed] =================== The soft limit is 10240 The hard limit is 10240 MEM: Init ... !!! MEM: Init ... Done !!! 0.0s: VX_ZONE_INFO: Globally Enabled VX_ZONE_INFO 0.9s: VX_ZONE_INFO: Globally Enabled VX_ZONE_ERROR 0.10s: VX_ZONE_INFO: Globally Enabled VX_ZONE_WARNING 0.231s: VX_ZONE_INFO: [ownAddTargetKernelInternal:189] registered kernel vx_tutorial_graph.phase_rgb on target DSP-1 0.2023s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-0 0.2084s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-1 0.2118s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-2 0.2159s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MPU-3 0.2206s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1 0.2247s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_2 0.2284s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_3 0.2318s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_4 0.2350s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_5 0.2389s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_6 0.2422s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_7 0.2460s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP_C7-1_PRI_8 0.2502s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSP-1 0.2546s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-0 0.2576s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_NF 0.2612s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_LDC1 0.2643s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC1 0.2684s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_MSC2 0.2717s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_VISS1 0.2753s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE1 0.2784s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE2 0.2826s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE3 0.2855s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE4 0.2887s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE5 0.2920s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE6 0.2952s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE7 0.2989s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CAPTURE8 0.3023s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY1 0.3056s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DISPLAY2 0.3092s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX 0.3129s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target CSITX2 0.3165s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M1 0.3198s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M2 0.3230s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M3 0.3270s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DSS_M2M4 0.3305s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target VPAC_FC 0.3345s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU2-1 0.3380s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_SDE 0.3417s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target DMPAC_DOF 0.3451s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-0 0.3492s: VX_ZONE_INFO: [tivxPlatformCreateTargetId:169] Added target MCU3-1 0.3494s: VX_ZONE_INFO: [tivxInit:152] Initialization Done !!! 0.3498s: VX_ZONE_INFO: Globally Disabled VX_ZONE_INFO ============= [Quantization & Calibration for subgraph_0 Started] ============= -------- Running Calibration in Float Mode to Collect Tensor Statistics -------- [=============================================================================] 100 % ------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------ [=============================================================================] 100 % [TIDL Import] ERROR: Failed to run calibration pass, system command returned error: 34816 -- [tidl_import_core.cpp, 690] [TIDL Import] ERROR: Failed to run Calibration - Failed in function: tidlRunQuantStatsTool -- [tidl_import_core.cpp, 1793] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_quantStatsFixedOrFloat -- [tidl_import_quantize.cpp, 4101] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_runIterativeCalibration -- [tidl_import_quantize.cpp, 4430] [TIDL Import] [QUANTIZATION] ERROR: - Failed in function: TIDL_import_quantize -- [tidl_import_quantize.cpp, 5314] [TIDL Import] ERROR: - Failed in function: TIDL_import_backend -- [tidl_import_core.cpp, 4606] [TIDL Import] ERROR: - Failed in function: TIDL_runtimesPostProcessNet -- [tidl_runtimes_import_common.cpp, 1516] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_subgraphImport -- [tidl_onnxRtImport_EP.cpp, 1961] [TIDL Import] [PARSER] ERROR: - Failed in function: TIDL_computeInvokeFunc -- [tidl_onnxRtImport_EP.cpp, 2753] MEM: Deinit ... !!! MEM: Alloc's: 26 alloc's of 24037773 bytes MEM: Free's : 26 free's of 24037773 bytes MEM: Open's : 0 allocs of 0 bytes MEM: Deinit ... Done !!!
------------------------------Captured stderr call------------------------------
Floating point exception (core dumped) 2025-05-07 01:54:36.844685985 [E:onnxruntime:, sequential_executor.cc:514 ExecuteKernel] Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed. Process Process-43: Traceback (most recent call last): File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/home/tidl/.pyenv/versions/3.10.16/lib/python3.10/multiprocessing/process.py", line 108, in run self._target(*self._args, **self._kwargs) File "/home/tidl/pranav/edgeai-benchmark/tests/tidl_unit/test_tidl_unit.py", line 206, in perform_tidl_unit_oneprocess results_list = onnxruntime_wrapper.run_import(tidl_unit_dataset[0]) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 58, in run_import output = self._run(input_data, output_keys) File "/home/tidl/pranav/edgeai-benchmark/edgeai_benchmark/core/onnxrt_runtime.py", line 91, in _run outputs = self.interpreter.run(output_keys, input_data) File "/home/tidl/.pyenv/versions/benchmark/lib/python3.10/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 217, in run return self._sess.run(output_names, input_feed, run_options) onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running TIDL_0 node. Name:'TIDLExecutionProvider_TIDL_0_0' Status Message: TIDL Compute Invoke Failed.